Statistical Physics, Markov Chains, and Programmable Matter

Statistical Physics, Markov Chains, and Programmable Matter

Probability Seminar
Feb 27, 2019, 03:00 PM - 04:00 PM | 1011 Evans Hall | Happening As Scheduled
Sarah Cannon, UC Berkeley
I will discuss how tools from statistical physics used to analyze partition functions, such as Peierls arguments and the cluster expansion, can be used to solve seemingly unrelated distributed computing problems about programmable matter. Programmable matter is a material or substance that has the ability to change its features in a programmable, distributed way; examples are diverse and include...